AINeutralarXiv – CS AI · 6h ago6/10
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TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
TrafficRAG presents a multimodal retrieval-augmented generation framework that automates traffic accident liability analysis by combining vision-language models, hybrid legal document retrieval, and large language models to generate standardized liability reports. The system achieves 77.32% legal norm accuracy and demonstrates that integrating multimodal evidence with legal knowledge significantly improves accident analysis reliability.